Personality traits, usage patterns and information disclosure in online communities

  • Authors:
  • Johann Schrammel;Christina Köffel;Manfred Tscheligi

  • Affiliations:
  • CURE - Center for Usability Research and Engineering, Vienna, Austria;CURE - Center for Usability Research and Engineering, Vienna, Austria;CURE - Center for Usability Research and Engineering, Vienna, Austria and University of Salzburg, Salzburg, Austria

  • Venue:
  • Proceedings of the 23rd British HCI Group Annual Conference on People and Computers: Celebrating People and Technology
  • Year:
  • 2009

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Abstract

Online communities of different types have become an important part of the daily internet life of many people within the last couple of years. Both research and business have shown interest in studying the possibilities and risks related to these relatively new phenomena. Frequently discussed aspects that are tightly bound to online communities are their implications and effects on privacy issues. Available literature has shown that users generally disclose very much (private) information on such communities, and different factors influencing this behaviour were identified and studied. However, the influence and predictive power of personality traits on information disclosure in online communities has not yet been the subject of analysis. In this paper we report the results of an online survey investigating the relations between personality traits (based on the Fife-Factor Model), usage patterns and information disclosure of participants in different types of online communities.